A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to us-led in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
us-led (0) - 1 freq
hustled (2) - 1 freq
rustled (2) - 4 freq
used (2) - 682 freq
fussled (2) - 7 freq
fustled (2) - 1 freq
ushed (2) - 1 freq
sled (2) - 7 freq
tummled (3) - 4 freq
wyled (3) - 2 freq
culled (3) - 3 freq
sles (3) - 1 freq
iled (3) - 1 freq
busked (3) - 5 freq
spiled (3) - 7 freq
soed (3) - 1 freq
gushed (3) - 1 freq
scaled (3) - 7 freq
jiled (3) - 5 freq
veiled (3) - 3 freq
shaed (3) - 4 freq
fumbled (3) - 5 freq
yalled (3) - 5 freq
reled (3) - 1 freq
tusseled (3) - 1 freq
us-led (0) - 1 freq
sled (3) - 7 freq
easy-led (3) - 1 freq
solid (4) - 73 freq
sealed (4) - 18 freq
selled (4) - 1 freq
sld (4) - 9 freq
soiled (4) - 2 freq
asleid (4) - 1 freq
salad (4) - 30 freq
sailed (4) - 32 freq
sklid (4) - 1 freq
styled (4) - 1 freq
sold (4) - 26 freq
spyled (4) - 5 freq
sauled (4) - 4 freq
suld (4) - 11 freq
smiled (4) - 238 freq
scaled (4) - 7 freq
rustled (4) - 4 freq
slid (4) - 33 freq
used (4) - 682 freq
fustled (4) - 1 freq
fussled (4) - 7 freq
ushed (4) - 1 freq
SoundEx code - U243
us-led - 1 freq
uxelledonium - 1 freq
uggledlugs - 13 freq
ujlt - 2 freq
MetaPhone code - USLT
us-led - 1 freq
US-LED
Time to execute Levenshtein function - 0.234279 milliseconds
The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings
Time to execute Double Levenshtein function - 0.424795 milliseconds
In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants.
Time to execute SoundEx function - 0.028414 milliseconds
Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.
Time to execute MetaPhone function - 0.038176 milliseconds
Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.
Time to execute Manually curated function - 0.001123 milliseconds
Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered.